Background: Arterial hypotension commonly occurs after anesthesia induction and is associated with negative clinical outcomes. Point-of-care ultrasound examination has emerged as a modality to predict postinduction hypotension (PIH). We performed a systematic review and network meta-analysis of the predictive performance of point-of-care ultrasound tests for PIH in noncardiac, nonobstetrical routine adult surgery.

Methods: Online databases were searched for diagnostic test accuracy studies of point-of-care ultrasound for predicting PIH up to March 30, 2023. The systematic review followed the Cochrane methodology. A Bayesian diagnostic test accuracy network meta-analysis model was used, with PIH as defined by study authors as the main outcome. Risk of bias and applicability were examined through the QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies) score. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework was used to assess evidence certainty.

Results: A total of 32 studies with 2631 participants were eligible for systematic review. Twenty-six studies with 2258 participants representing 8 ultrasound tests were included in the meta-analysis. Inferior vena cava collapsibility index (22 studies) sensitivity was 60% (95% credible interval [CrI], 49%-72%) and specificity was 83% (CrI, 74%-89%). Carotid artery corrected flow time (2 studies) sensitivity was 91% (CrI, 76%-98%) and specificity was 90% (CrI, 59%-98%). There were serious bias and applicability concerns due to selection bias and inappropriate blinding. The certainty of evidence was very low for all tests.

Conclusions: The predictive performance of point-of-care ultrasound for PIH is uncertain. There is a need for high-quality randomized controlled trials with appropriate blinding and void of selection bias.

Title	Published in	Year	Views	Downloads

Diagnostic Accuracy of Vascular Ultrasonography for Postanesthesia Induction Hypotension : A Systematic Review and Network Meta-Analysis	Anesthesia and analgesia	2025	1	0
Improving prognostication of pneumonia among elderly patients: usefulness of suPAR	BMC geriatrics	2024	108	148

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